Stress-testing hoeffding trees

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3721 LNAI, Issue , 2005, Pages 495-502

  Holmes, Geoffrey ^a   Kirkby, Richard ^a   Pfahringer, Bernhard ^a  

^a UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; STATISTICAL MECHANICS;

DATA STREAMS; HOEFFDING TREES; NAIVE BAYES METHOD; PREDICTIVE ACCURACY;

TREES (MATHEMATICS);

EID: 33646399422     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564126_50     Document Type: Conference Paper

References (4)

1. C.L. Blake and C.J. Merz. UCI repository of machine learning databases, 1998.
2. Pedro Domingos and Geoff Hulten. Mining high-speed data streams. In Knowledge Discovery and Data Mining, pages 71-80, 2000.
3. Joao Gama, Pedro Medas, and Ricardo Rocha. Forest trees for on-line data. In SAC '04: Proceedings of the 2004 ACM symposium on Applied computing, pages 632-636, New York, NY, USA, 2004. ACM Press.
4. Joao Gama, Ricardo Rocha, and Pedro Medas. Accurate decision trees for mining high-speed data streams. In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 523-528, New York, NY, USA, 2003. ACM Press.